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Keywords = golden section search (GSS)

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17 pages, 6557 KiB  
Article
A Novel Hill Climbing-Golden Section Search Maximum Energy Efficiency Tracking Method for Wireless Power Transfer Systems in Unmanned Underwater Vehicles
by Yayu Ma, Bo Liang, Jiale Wang, Bo Cheng, Zhengchao Yan, Moyan Dong and Zhaoyong Mao
J. Mar. Sci. Eng. 2024, 12(8), 1336; https://doi.org/10.3390/jmse12081336 - 6 Aug 2024
Cited by 1 | Viewed by 1570
Abstract
Efficiency has always been one of the most critical indicators for evaluating wireless power transfer (WPT) systems. To achieve fast maximum energy efficiency tracking (MEET), this paper provides an innovative control method utilizing the hill climbing-golden section search (HC-GSS) method of an LCC-S [...] Read more.
Efficiency has always been one of the most critical indicators for evaluating wireless power transfer (WPT) systems. To achieve fast maximum energy efficiency tracking (MEET), this paper provides an innovative control method utilizing the hill climbing-golden section search (HC-GSS) method of an LCC-S compensated WPT system. The receiver side includes a buck-boost converter that regulates the output current or voltage to meet output requirements. In the meantime, the buck-boost converter on the transmitter side is managed by the HC-GSS approach for MEET by minimizing the input power under the premise of output stability. Compared with the conventional P&O method, the HC-GSS method can eliminate the trade-off between the oscillation and convergence rate because it is designed for different system stages. In this WPT system, there is no need for direct communication between the transmitter and receiver. Therefore, the system is potentially cheaper to implement and does not suffer from annoying communication delays, which are prevalent in underwater environments for unmanned underwater vehicles’ (UUV) WPT systems. Both the simulation and experiment results show that this method can improve the efficiency of the WPT system without communication. The proposed method remains valid with coupler displacement as it does not include the mutual inductance of the system. Full article
(This article belongs to the Special Issue Advancements in New Concepts of Underwater Robotics)
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12 pages, 654 KiB  
Article
5G Radiation Source Location Based on Passive Virtual Aperture Technology by Single-Satellite
by Tong Zhang, Xin Zhang, Xiangyuan Wang and Qiang Yang
Electronics 2024, 13(14), 2874; https://doi.org/10.3390/electronics13142874 - 22 Jul 2024
Viewed by 1082
Abstract
With the development of 5th-Generation Mobile Communication (5G) technology and the deployment of low-Earth orbit satellites, using satellites to locate 5G radiation sources is of great significance in commerce and the military as an important task of integrated sensing and communication. Recently, passive [...] Read more.
With the development of 5th-Generation Mobile Communication (5G) technology and the deployment of low-Earth orbit satellites, using satellites to locate 5G radiation sources is of great significance in commerce and the military as an important task of integrated sensing and communication. Recently, passive virtual aperture technology has been introduced into passive location to improve accuracy, but the existing method, using matched filters to search the Doppler information to realize the location, has the disadvantages of high complexity and poor range resolution. In this paper, an improved 5G radiation source location based on a virtual aperture is proposed, which uses the improved Golden Section search-fractional Fourier algorithm (GSS-FRFT) to improve the existing passive virtual aperture location methods. First, the received signals are coherently accumulated to convert the time gain into spatial gain, and the subcarrier phase information is extracted by Fast Fourier Transform based on the 5G signal characteristics to obtain the azimuth signal. Then, an improved high-order GSS-FRFT algorithm is proposed to analyze the Doppler information, and signal focusing and satellite ephemeris data are used to estimate the effective velocity and solve the radiation source location. The simulation results show that the proposed method can improve the location accuracy compared with other single-satellite location methods and has high resolution, high accuracy and low complexity compared with the existing passive virtual aperture location method. Full article
(This article belongs to the Special Issue Satellite-Terrestrial Integrated Internet of Things)
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17 pages, 4761 KiB  
Article
Compensation of the Frequency Offset in Communication Systems with LoRa Modulation
by Semen Mukhamadiev, Evgeniy Rogozhnikov and Edgar Dmitriyev
Symmetry 2022, 14(4), 747; https://doi.org/10.3390/sym14040747 - 5 Apr 2022
Cited by 1 | Viewed by 2830
Abstract
This study focused on methods estimation and compensation frequency offset in communication systems with LoRa modulation. LoRa being used in IoT applications rapidly expands its markets. The article discusses three methods for estimation and compensation frequency offset as well as details of the [...] Read more.
This study focused on methods estimation and compensation frequency offset in communication systems with LoRa modulation. LoRa being used in IoT applications rapidly expands its markets. The article discusses three methods for estimation and compensation frequency offset as well as details of the comparative analysis made. Aside from the well-known methods by Ghanaatian and Golden Section Search (GSS), the third method is offered by the authors of the article and represents an improved version of the method proposed by Ghanaatian. The proposed method is based on a symmetric processing signal that is divided into two parts. The advantages and drawbacks of the considered methods are described. As a result of the performed study, a software model was developed, the dependence of the root mean-square error (RMSE) estimation of the frequency offset, and cumulative density function (CDF) of the frequency estimation error was calculated. Modeling was performed under identical conditions. The frequency offset accuracy provided by the proposed method exceeded the accuracy of the considered methods. Full article
(This article belongs to the Special Issue Information Technologies and Electronics Ⅱ)
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20 pages, 8999 KiB  
Article
A Novel Energy Optimization Control Strategy for Electric Drive System Based on Current Angle
by Jianjun Hu, Ying Yang, Meixia Jia, Yongjie Guan and Tao Peng
Appl. Sci. 2020, 10(11), 3778; https://doi.org/10.3390/app10113778 - 29 May 2020
Cited by 7 | Viewed by 3135
Abstract
The combination of permanent magnet synchronous motor (PMSM) and inverter is the key electric drive system (EDS) of electric vehicles (EVs), and its overall efficiency seriously affects the energy consumption of EVs. In order to further improve the efficiency of PMSM-inverter, the influence [...] Read more.
The combination of permanent magnet synchronous motor (PMSM) and inverter is the key electric drive system (EDS) of electric vehicles (EVs), and its overall efficiency seriously affects the energy consumption of EVs. In order to further improve the efficiency of PMSM-inverter, the influence of a special control object current angle β on EDS was studied and the general rule between β and EDS efficiency was obtained in this paper. Then, the golden section search (GSS) method was used to obtain optimal β and its corresponding stator current is, which can realize EDS working in optimal efficiency in the whole EDS working area. On this basis, an overall efficiency optimization control strategy for EDS based on the current angle β look-up table was proposed in this paper. To verify the effectiveness of the proposed control strategy, simulation considering iron loss and copper loss of motor and inverter loss was completed, which showed that compared with traditional control, the control strategy proposed in this paper can effectively improve the working efficiency of EDS under steady state and transient state. Full article
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25 pages, 7837 KiB  
Article
A Review and New Problems Discovery of Four Simple Decentralized Maximum Power Point Tracking Algorithms—Perturb and Observe, Incremental Conductance, Golden Section Search, and Newton’s Quadratic Interpolation
by Victor Andrean, Pei Cheng Chang and Kuo Lung Lian
Energies 2018, 11(11), 2966; https://doi.org/10.3390/en11112966 - 1 Nov 2018
Cited by 21 | Viewed by 4778
Abstract
Maximum Power Point Tracking (MPPT) enables photovoltaic (PV) systems to extract as much solar energy as possible. Depending on which type of controller is used, PV systems can be classified as centralized MPPT (CMPPT) or decentralized MPPT (DMPPT). In substring-level systems, it is [...] Read more.
Maximum Power Point Tracking (MPPT) enables photovoltaic (PV) systems to extract as much solar energy as possible. Depending on which type of controller is used, PV systems can be classified as centralized MPPT (CMPPT) or decentralized MPPT (DMPPT). In substring-level systems, it is known that the energy yield of DMPPT can outweigh the power electronics cost. At the substring level, it is usually assumed that the PV curve exhibits a single peak, even under partial shading. Thus, the control algorithms for DMPPT are usually less complicated than those employed in CMPPT systems. This paper provides a comprehensive review of four simple DMPPT algorithms, which are perturb and observe (P&O), incremental conductance (INC), golden section search (GSS), and Newton’s quadratic interpolation (NQI). The comparison of these algorithms are done from the perspective of numerical analysis. Guidelines on how to set initial conditions and convergence criteria are thoroughly explained. This is of great interest to PV engineers when selecting algorithms for use in MPPT implementations. In addition, various problems that have never previously been identified before are highlighted and discussed. For instance, the problems of NQI trap is identified and methods on how to mitigate it are also discussed. All the algorithms are tested under various conditions including static, dynamic, and rapid changes of irradiance. Both simulation and experimental results indicate that P&O and INC are the best algorithms for DMPPT. Full article
(This article belongs to the Special Issue Sustainable Energy Systems)
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29 pages, 6912 KiB  
Article
Solution Strategies for Linear Inverse Problems in Spatial Audio Signal Processing
by Mingsian R. Bai, Chun Chung, Po-Chen Wu, Yi-Hao Chiang and Chun-May Yang
Appl. Sci. 2017, 7(6), 582; https://doi.org/10.3390/app7060582 - 5 Jun 2017
Cited by 11 | Viewed by 4966
Abstract
The aim of this study was to compare algorithms for solving inverse problems generally encountered in spatial audio signal processing. Tikhonov regularization is typically utilized to solve overdetermined linear systems in which the regularization parameter is selected by the golden section search (GSS) [...] Read more.
The aim of this study was to compare algorithms for solving inverse problems generally encountered in spatial audio signal processing. Tikhonov regularization is typically utilized to solve overdetermined linear systems in which the regularization parameter is selected by the golden section search (GSS) algorithm. For underdetermined problems with sparse solutions, several iterative compressive sampling (CS) methods are suggested as alternatives to traditional convex optimization (CVX) methods that are computationally expensive. The focal underdetermined system solver (FOCUSS), the steepest descent (SD) method, Newton’s (NT) method, and the conjugate gradient (CG) method were developed to solve CS problems more efficiently in this study. These algorithms were compared in terms of problems, including source localization and separation, noise source identification, and analysis and synthesis of sound fields, by using a uniform linear array (ULA), a uniform circular array (UCA), and a random array. The derived results are discussed herein and guidelines for the application of these algorithms are summarized. Full article
(This article belongs to the Special Issue Spatial Audio)
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